Live pig weight measuring method based on deep learning and depth camera

Abstract

The invention discloses a live pig weight measurement method based on deep learning and a depth camera. The method comprises the steps of obtaining a depth image of a live pig; converting the depth image into three-dimensional point cloud data; preprocessing the three-dimensional point cloud data, and removing noise; putting the three-dimensional point cloud data subjected to noise removal into a point cloud convolutional neural network PointNet + + model for deep learning, and removing background three-dimensional point cloud data; projecting the background-removed three-dimensional point cloud data to a three-dimensional coordinate system, and solving the position of a corresponding extreme point, namely obtaining the coordinates of a corresponding feature point, so as to obtain corresponding body size data; taking the body size data of the live pig as an independent variable, taking the weight of the live pig as a dependent variable, and obtaining the weight of the live pig. The method does not need a large amount of manpower and material resources to weigh the live pigs one by one, but accurately estimates the weight through the image collection of the live pigs and the image analysis and calculation, thereby achieving the purpose of batch weight measurement.

Description

technical field [0001] The invention relates to the field of agriculture, in particular to a pig weight measurement method based on deep learning and a deep camera. Background technique [0002] my country is the world's largest producer of live pigs, ranking first in the world in both the scale of live pig breeding and the consumption of raw pork. The weight of live pigs is an important index to evaluate its growth and development status, and it is also the characteristic basis for the selection and evaluation of gilt pigs. Body weight index is an important basis for evaluating the reproductive ability and feeding ability of sow pigs. A sow with a suitable body weight has a high litter size and a high healthy piglet rate. At the same time, the feeding amount of the pigs is also regulated by the data of the pigs' weight. In the process of raising and managing pigs, the feeding work of pigs can be adjusted appropriately according to their weight data. Keep abreast of the ...

AI Technical Summary

Problems solved by technology

Compared with the former method, this method is more accurate in measurement, but the "platform scale (weighbridge)" is costly, consuming a lot of materials and money. In the face of modern large-scale farming with a huge base, the traditional measurement method is obviously powerless and inefficient. Weighing one by one The heavy method will undoubtedly increase the input of labor costs, and it is time-consuming and labor-intensive, and the focus cycle is longer

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